A Hybrid MTL Framework with LSTM and Attention for Predicting Concurrent CDN Traffic-Reference-Cited by-同舟云学术

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A Hybrid MTL Framework with LSTM and Attention for Predicting Concurrent CDN Traffic

Published:2024-06-09 Issue: Volume: Page:1957-1962
ISSN:
Container-title:ICC 2024 - IEEE International Conference on Communications
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Author:

Zeng Qimiao¹,Zhuang Zhehao²,Yang Hao-Nan³,Quan Wei⁴,Yin Zhifan¹,Pan Qing¹,Liang Jie¹

Affiliation:

1. China Telecom Research Institute,Guangzhou,China

2. South China University of Technology,Guangzhou,China

3. College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications,China

4. School of Electronic and Information Engineering, Beijing Jiaotong University,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10622104/10622158/10622391.pdf?arnumber=10622391

Reference15 articles.

1. Meta-Networking: Beyond the Shannon Limit with Multi-Faceted Information

2. Computation Offloading in Beyond 5G Networks: A Distributed Learning Framework and Applications

3. Forecasting Model of Traffic Flow Prediction Model Based on Multi-resolution SVR

4. Short-term traffic flow rate forecasting based on identifying similar traffic patterns

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